Post-transcriptional buffering of low nascent RNA transcription by Puf5
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB46211 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR6229260_1.fastq.gz | Fastqsanger.gz | |||
| ERR6229260_2.fastq.gz | Fastqsanger.gz | |||
| ERR6229270_1.fastq.gz | Fastqsanger.gz | |||
| ERR6229270_2.fastq.gz | Fastqsanger.gz | |||
| ERR6229280_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 344 |
Similar Datasets
Project description:Gene expression is a dynamic process regulated on several layers starting with transcription, mRNA export, translation and finally, mRNA degradation. While subsequent layers heavily influence each other, it is not clear if the most extreme layers, chromatin architecture and mRNA decay are linked. Here, we show that changes in nascent transcription mediated by mutating H3K56 to alanine are buffered at a post-transcriptional level by the Pumilio protein Puf5, which stabilizes transcripts in a context-dependent manner. Depleting Puf5 in an H3K56A background leads to downregulation of its direct targets, largely consisting of ribosomal protein genes. This is followed by a decrease in translation efficiency and finally, cell cycle arrest. Importantly, we show that this phenomenon of post-transcriptional buffering is not only linked to H3K56A, but might be a more widespread phenomenon to ensure physiological mRNA levels and to maintain cellular homeostasis.
2021-07-19 | E-MTAB-10107 | biostudies-arrayexpress
Project description:Gene expression is a dynamic process regulated on several layers starting with transcription, mRNA export, translation and finally, mRNA degradation. While subsequent layers heavily influence each other, it is not clear if the most extreme layers, chromatin architecture and mRNA decay are linked. Here, we show that changes in nascent transcription mediated by mutating H3K56 to alanine are buffered at a post-transcriptional level by the Pumilio protein Puf5, which stabilizes transcripts in a context-dependent manner. Depleting Puf5 in an H3K56A background leads to downregulation of its direct targets, largely consisting of ribosomal protein genes. This is followed by a decrease in translation efficiency and finally, cell cycle arrest. Importantly, we show that this phenomenon of post-transcriptional buffering is not only linked to H3K56A, but might be a more widespread phenomenon to ensure physiological mRNA levels and to maintain cellular homeostasis.
2021-07-19 | E-MTAB-10105 | biostudies-arrayexpress
Project description:Chip-seq of S. cerevisiae to investigate post-transcriptional buffering of low nascent RNA transcription by Puf5
| PRJEB43114 | ENA
Project description:Gene expression is known to vary among individuals, and this variability can impact the phenotypic diversity observed in natural populations. While the transcriptome and proteome have been extensively studied, little is known about the translation process itself. Here, we therefore performed ribosome and transcriptomic profiling on a genetically and ecologically diverse subset of natural isolates of the Saccharomyces cerevisiae yeast. Interestingly, we found that the Euclidean distances between each profile and the expression fold changes in each pairwise isolate comparison were approximately 10% higher at the transcriptomic level. This observation clearly indicates that the transcriptional variation observed in the different isolates is buffered through a phenomenon known as post-transcriptional buffering at the translation level. Furthermore, this phenomenon seemed to have a specific signature by preferentially affecting essential genes as well as genes involved in complex-forming proteins, and low transcribed genes. We also explored the translation of the S. cerevisiae pangenome and found that the accessory genes related to introgression events displayed similar transcription and translation levels as the core genome. By contrast, genes acquired through horizontal gene transfer events tended to be less efficiently translated. Together, our results highlight both the extant and signature of the post- transcriptional buffering.
2024-02-01 | GSE173654 | GEO
Project description:Differences in gene regulation between human and closely related species influence phenotypes that are distinctly human. While gene regulation is a multi-step process, the majority of research concerning divergence in gene regulation among primates has focused on transcription. To gain a comprehensive view of gene regulation, we surveyed genome-wide ribosome occupancy, which reflects levels of protein translation, in lymphoblastoid cell lines derived from human, chimpanzee and rhesus macaque. We further integrated mRNA and protein level measurements collected from matching cell lines. We find that, in addition to transcriptional regulation, the major factor determining protein level divergence between human and closely related species is post-translational buffering. Inter-species divergence in transcription is generally propagated to the level of protein translation. In contrast, gene expression divergence is often attenuated post-translationally, potentially mediated through post-translational modifications. Results from our analysis indicate that post-translational buffering is a conserved mechanism that led to relaxation of selective constraint on transcript levels in humans.
2018-05-10 | GSE71808 | GEO
Project description:Translation variation across genetic backgrounds reveals a post-transcriptional buffering signature in yeast
| PRJNA726548 | ENA
Project description:Post-translational buffering leads to convergent protein expression levels between primates
| PRJNA292112 | ENA
Project description:Transient genome-wide adaptations of nascent RNAPII transcription triggered by low temperature
| PRJNA544565 | ENA
Project description:Rpb4/7 binds RNA Polymerase II (Pol II) transcripts co-transcriptionally and accompanies them throughout their lives. By virtue of its capacity to interact with key regulators (e.g., Pol II, eIF3, Pat1) both temporarily and spatially, Rpb4/7 regulates the major stages of the mRNA lifecycle. Here we show that Rpb4/7 can undergo over 100 combinations of post-translational modifications (PTMs). Remarkably, the Rpb4/7 PTMs repertoire changes as the mRNA/Rpb4/7 complex progresses from one stage to the next. A mutagenesis approach in residues that undergo PTMs suggests that temporal Rpb4 PTMs regulate its interactions with key regulators of gene expression that control transcriptional and post-transcriptional stages. Moreover, one mutant type specifically affects mRNA synthesis despite its normal association with Pol II, whereas the other affects both mRNA synthesis and decay; both types disrupt the balance between mRNA synthesis and decay (‘mRNA buffering’) and the cell’s capacity to respond to the environment. Taken together, we propose that temporal Rpb4/7 PTMs are involved in cross talks among the various stages of the mRNA lifecycle.
2020-09-25 | PXD020511 | Pride
Project description:Over the past decade, genome-wide assays have underscored the broad sweep of circadian gene expression. A substantial fraction of the transcriptome undergoes oscillations in many organisms and tissues, which governs the many biochemical, physiological and behavioral functions under circadian control. Based predominantly on the transcription feedback loops important for core circadian timekeeping, it is commonly assumed that this widespread mRNA cycling reflects circadian transcriptional cycling. To address this issue, we directly measured dynamic changes in mouse liver transcription using Nascent-Seq. Many genes are rhythmically transcribed over the 24h day, which include precursors of several non-coding RNAs as well as the expected set of core clock genes. Surprisingly however, nascent RNA rhythms overlap poorly with mRNA abundance rhythms assayed by RNA-seq. This is because most mouse liver genes with rhythmic mRNA expression manifest poor transcriptional rhythms, indicating a prominent role of post-transcriptional regulation in setting mRNA cycling amplitude. To gain further insight into circadian transcriptional regulation, we also characterized the rhythmic transcription of liver genes targeted by the transcription factors CLOCK and BMAL1; they directly target other core clock genes and sit at the top of the molecular circadian clock hierarchy in mammals. CLK:BMAL1 rhythmically bind at the same discrete phase of the circadian cycle to all target genes, which not surprisingly have a much higher percentage of rhythmic transcription than the genome as a whole. However, there is a surprisingly heterogeneous set of cycling transcription phases of direct target genes, which even include core clock genes. This indicates a disconnect between rhythmic DNA binding and the peak of transcription, which is likely due to other transcription factors that collaborate with CLK:BMAL1. In summary, the application of Nascent-Seq to a mammalian tissue provides surprising insights into the rhythmic control of gene expression and should have broad applications beyond the analysis of circadian rhythms. Mouse liver nascent RNA profile over 6 time points of the 24h light:dark cycle, in duplicate, sequenced using Ilumina GAII (Nascent-Seq); Mouse liver mRNA profile over 6 time points of the 24h light:dark cycle, in duplicate, sequenced using Ilumina HiSeq2000 (RNA-Seq); CLK and BMAL1 DNA binding profile in the mouse liver at ZT8, sequenced along an Input sample using GAII (ChIP-Seq); Mouse liver strand-specific nascent RNA profile over 6 time points of the 24h light:dark cycle, in duplicate, sequenced using Ilumina HiSeq2000 (Strand-specific Nascent-Seq); Supplementary file NascentSeq_Mouse_Liver_NormalizedGeneSignal.txt represents Nascent RNA abundance (reads per base pair) for each sample.
2012-11-10 | E-GEOD-36872 | biostudies-arrayexpress